The 5P Funnel Framework: An AI-Integrated Instructional Design for Enhancing Teacher Professional Development

Abstract

Currently, the education sector is undergoing a transformation centered around artificial intelligence, continually optimizing resource allocation, promoting educational equity, and enhancing the personalization, interactivity, and intelligence of learning, making education simpler, more enjoyable, and sustainable. To ensure that teachers can use artificial intelligence responsibly and effectively, UNESCO has released the “AI Competency Framework for Teachers” aimed at promoting lifelong professional development for educators. In this context, research on instructional design that can achieve this goal becomes particularly important. This study proposes an expanded “5P Funnel” framework based on the “3P Funnel”. The framework includes five key elements: Purpose (teaching objectives), Product (learning outcomes), Priority (teaching contents), Pare down (eliminate redundancies), and Provide (appropriate AI tools). The study employs a quasi-experimental research design to explore the potential impact of the “5P Funnel” framework on the professional development of pre-service teachers in Zhaoqing, Guangdong. In this study, 204 candidates in the “Modern Educational Technology Application” course were randomly divided into an intervention group (n=102) and a control group (n=102), with the experiment lasting one semester (15 weeks). By analyzing the differences and relationships in the dimensions of professional development abilities between the two groups, the study evaluates the experimental effects and draws conclusions. Although the study is not yet complete, the paper will focus on the research methodology and preliminary progress, laying the foundation for future contributions. Once the experimental results are obtained, they will provide new ideas and methods for teacher training and practice in the AI era.